...
首页> 外文期刊>Structural Control and Health Monitoring >Feature extraction and system identification of reinforced concrete structures considering degrading hysteresis
【24h】

Feature extraction and system identification of reinforced concrete structures considering degrading hysteresis

机译:考虑滞后性的钢筋混凝土结构特征提取与系统辨识

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

From the point of view of structural safety monitoring, the state of damage after severe loading becomes an important issue for safety evaluation. In this study, seismic response data of a total of four reinforced concrete frames, designed with same dimensions and same seismic design code, subject to different levels of ground excitation individually from shaking table test, are used to study the nonlinear and damage pattern of reinforced concrete structure. First, the signal-based damage identification method, which include the change of the Hilbert marginal spectrum, the instantaneous frequency and phase difference, the Holder exponent, and the wavelet component energy distribution, is applied to identify the nonlinear features of the structure. Then the general Bouc-Wen hysteretic model was used to identify the physical parameters such as stiffness degradation, strength deterioration and hysteresis behavior of the reinforced concrete frame. Finally, the relationship between the change of model properties, the global damage index and the identified damage features are investigated. The relationship between the identified stiffness degradation function and the identified structural nonlinear/damage features can be used as a safety assessment index for the seismic assessment of reinforced concrete structure.
机译:从结构安全监控的角度来看,重载后的破坏状态成为安全评估的重要问题。在这项研究中,总共使用四个相同尺寸和相同抗震设计规范的钢筋混凝土框架的地震响应数据,分别通过振动台试验分别受不同水平的地面激励作用,以研究钢筋的非线性和破坏模式混凝土结构。首先,采用基于信号的损伤识别方法来识别结构的非线性特征,该方法包括希尔伯特边缘谱的变化,瞬时频率和相位差,霍尔德指数和小波分量能量分布。然后,使用一般的Bouc-Wen滞后模型确定钢筋混凝土框架的物理参数,例如刚度降低,强度降低和滞后行为。最后,研究了模型特性的变化,整体损伤指数与已识别损伤特征之间的关系。所识别的刚度退化函数与所识别的结构非线性/损伤特征之间的关系可以用作钢筋混凝土结构地震评估的安全评估指标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号